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Using predictive analytics to drive game personalisation

February 2012

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Agenda

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• Who we are

• What is analytics?

• Predictive modelling and player segmentation

• Building personalised experiences

• A big brother future?

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Games Analytics

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• 30 + years games industry experience

• 15+ years dedicated to online & mobile games

• 15+ years data analytics experience with finance and retail sectors

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ChangeThe Game

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So what is Analytics?

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Analytics is the process of developing optimal or realistic decision recommendations based on insights derived through the application of statistical models and analysis against existing and/or simulated future data – wikipedia

Analytics is not

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It’s also not easy

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• Challenges

• Big data

• Complex player behaviours

• Multiple monetisation mechanics

• Overly focusing on whales

• Making the data drive value

• Never mind being expensive, resource and data intensive…slightly mind-bending and probably just a fad…

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• They almost never give you the information you actually need to action anything useful

• They tell you about the average player

• They tell you old information

• They always look like this

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A/B Testing

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1.

Trial two versions and see which is most popular

2.

Pick the most popular and roll it out to everyone

3.

Repeat.

• One size fits all

• The Horizon Effect ….

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Funnel Analysis

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• Originated from web analysis

• Great for linear progress and identifying ‘leaks’

• Cohort analysis

• Multiple gameplay routes

• Multiple monetisation mechanics

• Works for simple social games

• By its nature does not recognise multiple player types or non-linear gameplay

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• Behavioural Segmentation

• Social Analytics

• Predictive Modelling

• Real time in game messaging

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Who are my players?

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• A game’s player base is made up of lots of different player types

• Each person is experiencing the same game differently

• Understanding player behaviours is vital

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Player Segmentation

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5%

0.19

9%

$2.38

7%

0.55%

36%

$0.75

31%

0.89%

22%

$1.75

25%

1.30%

26%

$2.21

14%

0.97

21%

$1.94

12%

0.86

59%

$3.57

6%

2.34%

57%

$4.40

Revenue Potential

%Volume

%Paying

7Day Ret

CAC

Early Enthusiasts

Confident Completers

Social Involver

Sporadic SemiEngaged

Losing Momentum

Need Guidance

Borderline Incompetent

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The Power of Prediction

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• Once you understand your different players…

• …You can start to predict what they want

• and use this information to deliver immediate player value

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• Core predictive models in SAS & R

• Multi-variant models can include 100+ separate variables

• Each model allows you to target a set of users precisely

• High propensity to take up the offer

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Variable Contribution

0,25

0,2

0,15

24 Hours +

Gameplay 0,1

High %

GiftedItem

Total

Stamina

5000+

0,05

0

1

Level 7-12

2

Fighting

Events

3 4

Accepted

Invite

5 6

High PVP

7 8

Low

Mission

Completion

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• Score model at key points in the game

• Start of Session

• Start of Mission

• After Mission Failed

• Select players who have high model score (high likelihood to purchase)

• Send message with offer/incentive

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Predicting Defection

Start 150 Events

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500 Events

Country

Age

Gender

Level Momentum,

Average Seconds Per

Event, Socialness,

Features Consumed

Apply Model at

150 Events.

Treat High

Scores with

Targeted

Messages

Analysis

Period

Detailed Events:

Quests Completed,

Purchase Behaviour,

Organising Tasks,

Specific Missions

Defectors and Engaged players behave differently in 1 st 20 minutes

Predict likelihood to defect and invoke retention activities before it is too late

Early Defectors

Defectors

Engaged

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Using Data Effectively

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• Games data collection benefits from huge amounts of rich behavioural information

• (When event collection is applied correctly)

• Each individual player creates a complex decision path

• Information can be mined and used to optimise gameplay

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The Players’ Views

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• Game design is generally focused on creating a great game

• We need to look at it from the player perspective

• Predictive analytics enables you to understand and identify behaviours to adapt gameplay to the player’s personal profile

• Creating great personalised gameplay experience

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Big Brother….

• Data protection

• Privacy

• Exploitation of user profiles

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The Adaptive Game

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• Analytics provides a huge opportunity to deliver personal gaming experiences

• Using the power of data for good

• A new concept in game design

• An incredibly powerful way of dynamically altering games

• Adapting a game to players behaviour in real time

• Player satisfaction delivers increased revenues

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Any Questions?

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